\hypertarget{pgpr__plma_8h}{\section{src/pgpr\+\_\+plma.h File Reference}
\label{pgpr__plma_8h}\index{src/pgpr\+\_\+plma.\+h@{src/pgpr\+\_\+plma.\+h}}
}


This file provides the main class of plma predictor.  


{\ttfamily \#include $<$Eigen/\+Dense$>$}\\*
{\ttfamily \#include \char`\"{}pgpr\+\_\+parallel.\+h\char`\"{}}\\*
{\ttfamily \#include \char`\"{}mpi.\+h\char`\"{}}\\*
{\ttfamily \#include \char`\"{}pgpr\+\_\+type.\+h\char`\"{}}\\*
{\ttfamily \#include \char`\"{}pgpr\+\_\+chol.\+h\char`\"{}}\\*
{\ttfamily \#include \char`\"{}pgpr\+\_\+cov.\+h\char`\"{}}\\*
{\ttfamily \#include $<$vector$>$}\\*
\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \hyperlink{classpgpr__plma}{pgpr\+\_\+plma}
\begin{DoxyCompactList}\small\item\em This class provides the regression function using P\+L\+M\+A Approximation. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
This file provides the main class of plma predictor. 

\begin{DoxyAuthor}{Author}
Jiangbo Yu 
\end{DoxyAuthor}
